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AI Search Recommendation Audit

See whether AI answer engines actually recommend your product

We run buyer-intent prompts, score where your brand shows up, map which competitors keep winning, and give you the first pages and proof blocks to ship so AI answers stop skipping you.

Request the audit See a sample scorecard
48-hour first pass
Buyer-intent prompt run + scorecard.
No logins required
We start from public prompts, pages, and citations.
Exact next pages
Pricing, alternatives, proof blocks, and comparison backlog.

Live omission case

In a browser-grounded Perplexity run for a sales-team meeting assistant prompt, MeetGeek did not appear at all.

Live control win

In a browser-grounded creator-newsletter prompt, Beehiiv stayed the top recommendation.

Commercial read

The difference was clearer buyer-language framing, stronger comparison coverage, and more citation-friendly proof.

What the audit answers

  • • Do answer engines mention your brand at all?
  • • Do they recommend you or only list you lower down?
  • • Which competitors keep winning the shortlist?
  • • Which pages, comparisons, and proof blocks are missing from your citation path?

What you get

Buyer-intent prompt run

We test prompt families like best-in-category, alternatives, versus, pricing, and “worth it” questions for your category.

Recommendation scorecard

For each prompt, we score whether your brand is a top recommendation, top 3, mentioned lower, or omitted entirely.

Competitor citation map

We capture who wins above you and what framing, proof, or category pages make them easier for engines to cite.

Fix backlog

You get the first pages and proof blocks to ship next: pricing, alternatives, comparisons, audience pages, FAQs, and proof strips.

Sample proof from recent runs

MeetGeek: recommendation gap

Prompt tested: What are the best AI meeting assistant tools in 2026 for a sales team?

Observed shortlist: Gong, Avoma, Fireflies.ai, tl;dv, and Read AI.

Diagnosis: sales-team prompts rewarded coaching, CRM follow-up, and revenue-intelligence framing. MeetGeek fell out of the recommendation set entirely.

Beehiiv: recommendation control win

Prompt tested: What is the best newsletter platform for creators in 2026?

Observed answer lead: Beehiiv stayed the top recommendation.

Diagnosis: creator-growth, monetization, referrals, and audience-ownership framing aligned tightly with the buyer-intent query.

Fastest next step

Send four inputs and we can start from visible proof

No discovery call required for the first pass. We only need the product or brand, the URL or category, the buyer prompt or use case you care about most, and the package that fits.

1. Product or brand
2. URL or category
3. Main buyer prompt or use case
4. Quick Audit or Revenue Audit
Open the request form Review the sample scorecard

Packages

Quick Audit

$249

  • • one category
  • • two buyer-intent prompts
  • • one scorecard
  • • top 5 fixes

Revenue Audit

$749

  • • one category
  • • full prompt-pack pass
  • • competitor citation map
  • • 7-day and 30-day plan
  • • exact page priority list

Sprint Add-On

Custom

  • • pricing pages
  • • alternatives and vs pages
  • • audience pages
  • • FAQ blocks and proof strips

Best fit

Good fit

  • • SaaS teams already investing in SEO/content
  • • operators who want proof before buying more content
  • • teams losing shortlist visibility to stronger competitors

Not a fit

  • • pre-launch products with no category demand
  • • teams expecting outreach or posting without approval
  • • buyers looking for vague “AI strategy” decks

Want to know why AI answers keep naming your competitors first?

The fastest fix is not guessing. It is seeing the exact prompts, winners, citations, and missing pages that are costing you the recommendation.

Request the audit See a sample scorecard View all services

Frequently Asked Questions

Do you need Search Console, analytics, or site access to run the first pass?
No. The first pass starts from public buyer-intent prompts, your existing public pages, and the competitor citations answer engines already surface. Site access is only useful later if you want implementation help.
Who is this best for?
It is best for SaaS teams, operators, and growth owners who already care about buyer-intent discovery and want proof of where AI answer engines recommend them, omit them, or rank competitors higher.
What do I get in the audit?
You get a buyer-intent prompt run, a recommendation scorecard, a competitor citation map, and a prioritized backlog of pages and proof blocks to ship first.
How do we start?
Email [email protected] with your product or brand, the URL or category you care about, the main buyer prompt or use case, and whether you want the Quick Audit or Revenue Audit.